Welcome to MLR-Predict Predictor!

MLR-Predictor leverages innovative OKAPIBM25 technique that transforms requirements text into statistical vectors by computing words informative patterns. Moreover, predictor transforms multi-lable requirements classification data into multi class classification problem and utilize logistic regression classifier for categorization of requirements. The performance of the proposed predictor is evaluated and compared with 123 machine learning and 9 deep learning-based predictive pipelines across three public benchmark requirements classification datasets using eight different evaluation measures.